Data Engineer

Формат работы

hybrid

Тип работы

fulltime

Грейд

middle

Английский

Страна

Описание вакансии

Текст:

TL;DR

Data Engineer: Designing and building scalable data pipelines that transform raw data into actionable insights, emphasizing ETL development, AWS cloud services, and database management. Focus on ensuring data quality, consistency, and performance across multiple environments.

Location: Washington, DC (Hybrid)

Company

hirify.global is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

Design and develop end-to-end data pipelines for ingestion, transformation, and delivery of data.
Build and maintain ETL processes to ensure data quality and performance.
Integrate data pipelines with Amazon Web Services (AWS).
Develop and maintain schemas, data dictionaries, and transformation logic.
Manage and monitor production datasets, ensuring fault tolerance and data integrity.
Collaborate with cross-functional teams to design and launch new data features.

Requirements

Must possess and maintain a TS-SCI clearance
Bachelor’s degree in computer science, Engineering, Information Systems, or a related field
4–8 years of experience in data engineering, ETL development, or database administration
Proficiency in Amazon Web Services (AWS) and cloud-based data integration
Strong experience with ETL architecture, data pipeline development, and end-to-end data processing
Solid understanding of database management, including schema design, indexing, and optimization

Nice to have

Experience with cloud messaging APIs and push notification systems
Hands-on experience with database administration and performance tuning
Keen interest in learning and applying the latest data tools and technologies
Experience supporting technical support functions related to data infrastructure
Familiarity with national security or mission-driven data environments